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Pendampingan Aktivitas Fisik bagi Anak Usia Dini untuk Mencegah Sedenteri
Dhuha, Ahad Agafian
; Yogaswara, Andre
; Muhibbi, Muhammad
; Widodo, Agung
; Abubakar, Sayid Fariz Bin Seh
; Firdaus, Mohammad Fajar
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar belakang: Tingginya durasi screen time dan rendahnya aktivitas fisik anak usia dini mengakibatkan berbagai penyakit dan gangguan perkembangan motorik pada anak. Kurangnya aktivitas fisik berpengaruh terhadap keterlambatan gerak seperti berjalan dan keterlambatan bicara. Pemberian handphone dalam jangka waktu lama dan kurangnya stimulus oleh keluarga merupakan salah satu penyebab utama terjadinya berbagai gangguan kesehatan dan perkembangan pada anak. Kurangnya aktivitas fisik, tingginya a...
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Pengembangan Kemampuan Kepemimpinan pada Pengurus Persyarikatan Melalui Kegiatan ‘Outbound’
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar belakang: Permasalahan yang hampir ada di setiap kepengurusan Muhammadiyah dan Aisyiyah, baik cabang maupun ranting, adalah kurangnya semangat anggota pengurus dalam kegiatan organisasi. Hal tersebut tercermin dari persentase kehadiran rapat-rapat pengurus PCM dan PCA Tambak yang masih berkisar 10-15 persen. Tujuan: Untuk mengembangkan kepemimpinan pengurus cabang dan ranting Muhammadiyah dan Aisyiyah, sehingga berdampak pada partisipasi anggota dalam menjalankan program-programnya. Metod...
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Investigating Security Enhancement in Hybrid Clouds via a Blockchain-Fused Privacy Preservation Strategy: Pilot Study
Tabitha Chukwudi Aghaunor
; Eferhire Valentine Ugbotu
; Emeke Ugboh
; Paul Avwerosuoghene Onoma
; Frances Uchechukwu Emordi
; Arnold Adimabua Ojugo
; Victor Ochuko Geteloma
; Rebecca Okeoghene Idama
; Peace Oguguo Ezzeh
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
The proliferation of cloud infrastructures has intensified concerns regarding data security, integrity, identity and access management, and user privacy. Despite recent advances, existing solutions often lack comprehensive integration of privacy-preserving mechanisms, dynamic trust management, and cross-provider interoperability. This study proposes an AI-enabled, zero-trust, blockchain-fused identity management framework for secure, privacy-preserving multi-cloud environments. The framework int...
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PELATIHAN PENGGUNAAN MICROSOFT WORD PADA SISWA/SISWI DI MIS AL-ISLAMIAH BATU PUTIH, DESA ALILA TIMUR KABUPATEN ALOR, PROVINSI NTT
Lengmani, Isah E
; Ailabui, Maria
; Laaduka, Mikae
; Nenu, Muhammad A.
; Gegung, Kornelius
; Molina, Jon Idrison
; Selly, Julminggu J.
Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Vol 6
, No 1
(2026)
The rapid development of information technology requires elementary school students to possess basic computer and word-processing skills. Microsoft Office Word is widely used in educational and administrative activities; however, initial observations revealed that many students at MIS Al-Islamiah Batu Putih lacked basic knowledge of this application. This community service activity aimed to improve students’ digital literacy and skills in using Microsoft Office Word 2016 through a structured tra...
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ERACS as a Legal Obligation: A Compliance-Based Model for Protecting Post-Caesarean Patients’ Rights
AMNESTI : Jurnal Hukum
Vol 8
, No 1
(2026)
The existence of a wide disparity in post-caesarean recovery duration positions Enhanced Recovery After Caesarean Surgery (ERACS) not merely as a clinical guideline, but as a verifiable duty that must be substantiated through evidence of service processes and adequate documentation. Employing a descriptive–analytical research method, this study maps recovery outcomes and incorporates interviews with healthcare personnel, integrated with an assessment of statutory and regulatory obligations under...
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A Graph-Augmented Isolation Forest Using Node2Vec and GraphSAGE for Mobile User Behavior Anomaly Detection
Amaka Patience Binitie
; Sunny Innocent Onyemenem
; Nneamaka Christiana Anujeonye
; Arnold Adimabua Ojugo
; Francesca Avwuru Egbokhare
; Tabitha Chukwudi Aghaunor
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
This study presents a Graph-Augmented Isolation Forest (GAIF), an unsupervised anomaly-detection framework for analyzing mobile user behavior. The proposed framework represents users and behavioral attributes as a user–feature bipartite graph, enabling the capture of relational dependencies that are not explicitly modeled in conventional vector-based approaches. Low-dimensional user representations are learned through Node2Vec and Graph Sample and Aggregate (GraphSAGE), and the resulting embeddi...
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An Attention-Enhanced CNN–RBF Framework for Network Intrusion Detection in Imbalanced Traffic
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The increasing complexity and scale of modern network traffic driven by IoT and cloud-based infrastructures have made accurate intrusion detection a critical challenge. Conventional network intrusion detection systems (NIDS) and many deep learning–based approaches struggle to reliably detect minority and stealthy attacks due to severe class imbalance and limited discrimination of subtle traffic patterns. To address these limitations, this study proposes a hybrid CNN–RBF–Attention framework for n...
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Geopolymer Bio-Patch Repair: Microbially-Induced Calcite and Pozzolanic Fly Ash and Rice Husk Ash for Corrosion-Resistant of Reinforced Concrete Repair
Pinta Astuti
; Angga Jordi Wisnu Nouvaldi
; Aprilia Rahmayanti
; Pramudya Surya Shabura
; Muhammad Etandra Fara Adzani
; Dylan Ataa Tsany
; Adhitya Yoga Purnama
; Rahmita Sari Rafdinal
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
Indonesia’s archipelagic environment subjects concrete structures to severe corrosion and sulfate attacks, necessitating sustainable repair solutions. This study evaluates a geopolymer-based bio-patch repair mortar utilizing fly ash (FA), rice husk ash (RHA), and Bacillus subtilis bacteria to induce Microbially Induced Calcite Precipitation (MICP). While the silica-rich ashes act as pozzolanic materials, the bacteria enhance durability by reducing oxygen levels and lowering corrosion rates. Micr...
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A Lightweight Maize Leaf Disease Recognition Using PCA-Compressed MobileNetV2 Features and RBF-SVM
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The integration of Artificial Intelligence (AI) into precision agriculture has significantly improved plant disease recognition; however, many existing deep learning models remain computationally expensive and feature-redundant, limiting their deployment on low-power and edge devices. To address these limitations, this study proposes a lightweight framework for maize leaf disease recognition based on serial deep feature extraction, dimensionality reduction, and machine-learning–based classificat...
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Performance of Self-Compacting Concrete Mixed and Cured with Magnetized Water
Alshirah, Majed
; Zahid, Mohd Zulham Affandi Bin Mohd
; Abu Bakar, Badorul Hisham Bin
; Jaafar, Zul Fahmi Bin Mohamed
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2025)
This study investigates the effect of magnetized water (MW) on the mechanical and microstructural properties of self-compacting concrete (SCC). Four mixes with identical proportions were prepared to isolate the influence of MW at different stages: SCNTN (normal water used in both mixing and curing), SCNTM (normal water in mixing and MW in curing), SCMTN (MW in mixing and normal water in curing), and SCMTM (MW used in both mixing and curing). Compressive strength tests were conducted at 7 and 28...
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